Journal article
Chinese school teachers' conceptions of high-stakes and low-stakes assessments: An invariance analysis
Educational Studies, Vol.46(4), pp.458-475
2019
Abstract
The study investigated teachers’ conceptions of high-stakes and low-stakes assessments with a sample of 1,013 school teachers from China. In general, the assessment model indicated that school teachers in this study agreed with the most factors. They demonstrated a broad understanding of the improvement, evaluation, control, irrelevance, and challenges of assessment for a range of purposes. Multi-group confirmatory factor analysis for high-stakes vs low-stakes found that Chinese teachers perceived improvement, school accountability and examination purposes as highly positively correlated, though accountability was weakly correlated with irrelevance. Further, these teachers showed favourable attitudes toward low-stakes assessments which are believed more indicative of learning, teaching, examination, and school accountability. These results indicate that it is an appropriate option to adopt low-stakes assessments to remedy the unintended effects of high-stakes assessments in China. Possible explanations for major results are discussed, which may provide implications for other educational contexts.
Details
- Title
- Chinese school teachers' conceptions of high-stakes and low-stakes assessments: An invariance analysis
- Authors/Creators
- J. Chen (Author/Creator) - Education University of Hong KongT. Teo (Author/Creator) - Murdoch University
- Publication Details
- Educational Studies, Vol.46(4), pp.458-475
- Publisher
- Routledge
- Identifiers
- 991005541152107891
- Copyright
- © 2019 Informa UK Limited, trading as Taylor & Francis Group
- Murdoch Affiliation
- School of Education
- Language
- English
- Resource Type
- Journal article
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- Domestic collaboration
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- Citation topics
- 6 Social Sciences
- 6.11 Education & Educational Research
- 6.11.31 Self-Regulated Learning
- Web Of Science research areas
- Education & Educational Research
- ESI research areas
- Social Sciences, general